Results 121 to 130 of about 343,701 (293)

Modulation Transfer Function Extraction and Parametric Effects

Havacılık ve Uzay Teknolojileri Dergisi
We compute the optical transfer function and corresponding satellite image estimate in order to test validity of our modulation transfer function (MTF) extraction algorithms. The test targets allow MTF computation by using slanted edge and sine wave star
Kamil B. Alıcı
doaj  

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source

Alternative cancer therapy through modeling pteridines photosensitizer quantum yield singlet oxygen production using swarm-based support vector regression and extreme learning machine

Cogent Engineering
Photodynamic cancer therapy circumvents the major side effects associated with the conventional cancer treatment methods, such as chemotherapy, surgery and exposure to radiation.
Nahier Aldhafferi
doaj   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Adopting a new sine-induced statistical model and deep learning methods for the empirical exploration of the music and reliability data

Alexandria Engineering Journal
The presence of probability-driven models is highly influential in setting the stage for vital decision-making in domains including reliability, engineering, music engineering, and other closely interconnected scenarios.
Yanli Yu, Yan Jia, Mohammed A. Alshahrani, Osama Abdulaziz Alamri, Hanita Daud, Javid Gani Dar, Ahmad Abubakar Suleiman   +6 more
doaj   +1 more source

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source

SARO‐MB3‐BiGRU: A novel model for short‐term traffic flow forecasting in the context of big data

IET Intelligent Transport Systems
In order to further improve the accuracy of short‐term traffic flow prediction on designated sections of highways, a combined prediction model is designed in this paper to predict the traffic flow on designated sections of highways.
Haoxu Wang, Zhiwen Wang, Long Li, Kangkang Yang, Jingxiao Zeng, Yibin Zhao, Jindou Zhang   +6 more
doaj   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

FEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Parametric estimation in three-phase induction motors using torque data via the generalized normal distribution optimizer

Results in Engineering
This research addresses the parametric estimation problem in three-phase induction motors by applying a recently developed metaheuristic method known as the generalized normal distribution optimizer (GNDO).
Oscar Danilo Montoya, Cristian H. De Angelo, Guillermo Bossio   +2 more
doaj   +1 more source

Arithmetic Means of Fourier-Stieltjes-Sine-Coefficients [PDF]

Proceedings of the American Mathematical Society, 1963
openaire   +2 more sources